School of Engineering, Basilicata University, Viale dell'Ateneo Lucano 10, 85100 Potenza, Italy.
Veneto Regional Environmental Prevention and Protection Agency (ARPAV), Provincial Department of Venice, Via Lissa 6, 30172 Venice-Mestre, Italy.
Int J Environ Res Public Health. 2018 Feb 23;15(2):390. doi: 10.3390/ijerph15020390.
The present study develops an integrated methodology combining the results of the water-quality classification, according to the Water Framework Directive 2000/60/EC-WFD, with those of a mathematical integrity model. It is able to analyse the potential anthropogenic impacts on the receiving water body and to help municipal decision-makers when selecting short/medium/long-term strategic mitigation actions to be performed in a territory. Among the most important causes of water-quality degradation in a river, the focus is placed on pollutants from urban wastewater. In particular, the proposed approach evaluates the efficiency and the accurate localisation of treatment plants in a basin, as well as the capacity of its river to bear the residual pollution loads after the treatment phase. The methodology is applied to a sample catchment area, located in northern Italy, where water quality is strongly affected by high population density and by the presence of agricultural and industrial activities. Nearly 10 years of water-quality data collected through official monitoring are considered for the implementation of the system. The sample basin shows different real and potential pollution conditions, according to the resilience of the river and surroundings, together with the point and diffuse pressure sources acting on the receiving body.
本研究开发了一种综合方法,将水质分类的结果(根据 2000/60/EC-WFD 水框架指令)与数学完整性模型的结果相结合。它能够分析受纳水体的潜在人为影响,并在市政决策者选择要在一个地区实施的短期/中期/长期战略缓解措施时提供帮助。在河流水质退化的最重要原因中,重点放在城市废水中的污染物上。特别是,所提出的方法评估了流域内处理厂的效率和准确位置,以及河流在处理阶段后承受剩余污染负荷的能力。该方法应用于一个位于意大利北部的样本集水区,该地区的水质受到高人口密度和农业及工业活动的强烈影响。将近 10 年的官方监测收集的水质数据用于系统的实施。根据河流及其周围环境的弹性以及对受纳体的点源和非点源压力源,该样本流域显示出不同的实际和潜在污染情况。